Our Milestones
What Makes AI Agents Successful?
AI agents only create real value when they are built for your operations, not built as demos. Plego focuses on the fundamentals that make agents trustworthy in production so that they can run day after day without surprises.
- Clean business context, your agents are only as smart as the data you feed them.
- Clear boundaries, every agent has defined permissions, actions, and escalation rules.
- Human-in-the-loop where it matters, approvals for high-risk actions, autonomy for repetitive work.
- Reliable orchestration, multi-step workflows that handle edge cases, retries, and fallbacks.
- Traceability: every action has a log, a reasoning trail, and an audit-friendly history.
- Security and compliance baked in, backed by our expertise in Data Security & Compliance, with access control, encryption, and governance from day one.
- Continuous improvement, monitoring, feedback loops, and measurable outcomes tied to KPIs.
Your Vision, Our Expertise
Let’s Build Something Great Together!
What an AI agent project with Plego covers
We help you move from manual workflows to agents, without breaking your existing stack.
Which workflows should an AI agent take on first?
Through our AI Consulting, we map the right workflows to automate first and design a phased rollout your teams can adopt.
What kinds of AI agents do you build?
We build role-based agents for Sales, Support, Finance, HR, and IT, with defined skills, tools, and decision rules.
How do several agents work on one process?
We build multi-agent systems for complex processes. Tasks are routed across specialized agents, with guardrails.
Can an agent answer from our own documents?
Yes. Plego connects your docs, SOPs, CRM notes, and knowledge bases to grounded answers and actions, with source visibility.
Does the agent work inside the tools we already use?
We integrate agents into the tools you run (CRM, ticketing, email, calendars, and ERP) so work happens where your teams already work. Our API Development services support these integrations.
How do you keep agents secure and controlled?
We implement access control, data handling rules, logging, approvals, and audit records for compliance.
Quality, Testing, and Reliability
Plego test hallucination risk, tool failure scenarios, edge cases, and performance, before anything goes live.
What happens after the agent goes live?
We monitor outcomes, tune prompts, improve workflows, and keep refining the system based on how your teams use it.
Which tools and platforms do you build agents with?
We build agents with a blend of language models, orchestration, retrieval, and security. The stack is vendor neutral and chosen based on your needs.
Front End
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Google Google Google
Back End
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OpenAI OpenAI OpenAI -
Azure OpenAI Azure OpenAI Azure OpenAI -
Anthropic Anthropic Anthropic -
Open Source Models Open Source Models Open Source Models
Use Case
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OpenAI OpenAI OpenAI -
Anthropic Anthropic Anthropic
Back End
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LangGraph LangGraph LangGraph -
LangChain LangChain LangChain -
Custom Orchestrators Custom Orchestrators Custom Orchestrators
Use Case
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LangGraph LangGraph LangGraph -
LangChain LangChain LangChain
Back End
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Hybrid Search Hybrid Search Hybrid Search
Database
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Document Parsers Document Parsers Document Parsers -
Vector Databases Vector Databases Vector Databases
Use Case
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Hybrid Search Hybrid Search Hybrid Search
Back End
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ETL Pipelines ETL Pipelines ETL Pipelines -
Event-Based Triggers Event-Based Triggers Event-Based Triggers
Database
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SQL SQL SQL
Use Case
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ETL Pipelines ETL Pipelines ETL Pipelines -
Event-Based Triggers Event-Based Triggers Event-Based Triggers
Front End
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Slack Slack Slack -
Microsoft 365 Microsoft 365 Microsoft 365 -
Google Workspace Google Workspace Google Workspace -
HubSpot HubSpot HubSpot -
Salesforce Salesforce Salesforce -
Zendesk Zendesk Zendesk
Use Case
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Slack Slack Slack -
Salesforce Salesforce Salesforce -
Zendesk Zendesk Zendesk
Front End
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RBAC RBAC RBAC
Back End
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Encryption Encryption Encryption -
Secrets Management Secrets Management Secrets Management
Database
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Audit Logs Audit Logs Audit Logs
Use Case
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RBAC RBAC RBAC -
Audit Logs Audit Logs Audit Logs
Back End
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AWS AWS AWS -
Azure Azure Azure -
GCP GCP GCP
Database
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AWS AWS AWS -
Azure Azure Azure -
GCP GCP GCP
Use Case
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Containerized Deployments Containerized Deployments Containerized Deployments
Front End
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Monitoring Dashboards Monitoring Dashboards Monitoring Dashboards
Back End
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Logging Logging Logging -
Evaluations Evaluations Evaluations
Database
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Logging Logging Logging
Use Case
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Evaluations Evaluations Evaluations -
Monitoring Dashboards Monitoring Dashboards Monitoring Dashboards
AI projects we have built
Case Study | Form
Plego developed Skipify.ai to empower real estate professionals with top-tier skip-tracing data and real-time lead generation. The app addresses key challenges like finding hidden opportunities, dealing with obsolete data, and engaging unlisted property owners. With a 90%+ match rate, high-quality data integration, and a user-friendly interface, Skipify.ai enhances efficiency, accuracy, and communication, giving users a competitive edge.
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Case Study | Koloden
Plego used machine learning, natural language processing, and AI to build an intellectual property infringement platform for Koloden. Koloden offers brand owners and online sellers protection for their intellectual property by validating the copyright status of sold products on platforms such as Wish, Amazon, Walmart, and eBay.
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Case Study | 10FOLD
Plego built an AI web application for 10FOLD, which sorts and analyzes online articles for PR reporting. After receiving published articles from third parties, 10FOLD's staff had to sift through thousands of them and categorize each by duplicates, 404 errors, featured names, or out of region content. The application removes duplicate articles, uses machine learning to classify articles and detect publication type, and uses natural language processing to read article content. Self-learning AI reduces manual intervention and supervision.
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Case Study | Riddell
A pioneer in sports safety, Riddell sought deeper insights from InSite Smart Helmets' impact data. Plego developed the InSite Analytics Portal, integrating Power BI for real-time analytics, intuitive visuals, and advanced filtering. This streamlined data processing, enhanced player safety insights and ensured scalability - empowering coaches with faster, smarter decisions.
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Bring Your Vision to Life with Our Expert AI Agent Solutions
AI Agents Development Services for Seamless Digital Operations
AI agents should reduce busywork, shorten cycle times, and improve quality, without creating security risk or operational chaos.
- Automate repetitive workflows across departments, without replacing your existing tools.
- Speed up response times with agents that work 24/7 and escalate intelligently.
- Reduce errors with rule-based actions, validations, and audit-ready logs.
- Improve customer experience with faster resolutions and consistent answers.
- Give your teams time back by eliminating the “admin tax” across systems.
- Keep control with permissions, approvals, and governance that fit your policies.
Susan Thomas
CEO, 10FOLD




















































Trusted by the World’s Leading Brands
Global brands trust us as their technology partner, thanks to our expertise in building custom web and mobile solutions that perfectly fit their unique needs.
- 5-star ratings across multiple platforms.
- 1000+ satisfied clients and growing!
- We serve small businesses to large corporations with a combined market cap over $5 trillion!
AI Agent Solutions We Create
Sales and Pipeline Agents
Stop letting the pipeline leak because follow-ups are slow. Agents enrich leads, trigger timely nudges, update CRM automatically through intelligent Robotic Process Automation, and keep reps focused on closing, not admin work.
Why Partner with Plego for AI Agents Development?
Expert-led delivery you can trust
We combine AI engineering with real delivery discipline, discovery, workflows, QA, and release management, so the system holds up in production.
Built around your workflows, not generic demos
We tailor agents to your processes, tools, approvals, and edge cases, so teams see real value fast.
Secure, compliant, and auditable by default
We design access control, data handling, logging, and governance from day one, so your leadership feels comfortable scaling it.
Integration-first approach
Agents only matter when they take action. We connect them to your stack so work gets done automatically, end to end.
Measurable outcomes
We tie agents to KPIs like cycle time reduction, cost savings, SLA improvements, and conversion lift, then iterate to improve.
Long-term partner mindset
From launch to optimization, we stay involved, refine, and expand your agentic workforce as your needs evolve.
Tyler Tomlinson
Technology Team Manager, Esco

























